Raitis Pečulis

32 papers receiving 334 citations

Peers

Raitis Pečulis
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 101
  • Endocrine and Autonomic Systems 34
  • Clinical Biochemistry 24
  • Genetics 33
  • Cancer Research 25
Replace Anna‐Lena Eriksson with:
Anna‐Lena Eriksson Sweden
Kamie Snow United States
Catherine Coquard France
Kazuaki Yoshizato Japan
Eun‐Gyoung Hong South Korea
M B Draznin United States
G Tamburrano Italy
Mohsen Fathzadeh United States
Greta Lyons United Kingdom
Urs Arnet Switzerland
Raitis Pečulis relative to Anna‐Lena Eriksson Sweden Anna‐Lena Eriksson's profile →
Citations per field
00.5×7.6×
Anna‐Lena Eriksson · 1×
Citations per year

Countries citing papers authored by Raitis Pečulis

Since Specialization
Citations

This map shows the geographic impact of Raitis Pečulis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raitis Pečulis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raitis Pečulis more than expected).

Fields of papers citing papers by Raitis Pečulis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raitis Pečulis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raitis Pečulis. The network helps show where Raitis Pečulis may publish in the future.

Co-authors

The 25 scholars most cited alongside Raitis Pečulis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raitis Pečulis Line = papers co-authored together Raitis Pečulis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201236
2 201028
3 201828
4 201625
5 201323
6 202119
7 201118
8 202117
9 201115
10 201414
11 201414
12 201611
13 20119
14 20169
15 20207
16 20166
17 20216
18 20236
19 20095
20 20195

About Raitis Pečulis

Raitis Pečulis is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Genetics and Oncology, having authored 33 papers that have together received 335 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (9 papers), Neuroendocrine Tumor Research Advances (5 papers), Genetic Associations and Epidemiology (5 papers), Glioma Diagnosis and Treatment (3 papers), Adenosine and Purinergic Signaling (2 papers), Nuclear Receptors and Signaling (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (101 citations), Endocrine and Autonomic Systems (34 citations), Clinical Biochemistry (24 citations), Genetics (33 citations) and Cancer Research (25 citations). Raitis Pečulis has collaborated with scholars based in Latvia, Sweden and Canada. Frequent co-authors include Jānis Kloviņš, Valdis Pīrāgs, Vita Rovīte, Dāvids Frīdmanis, Ilze Konrāde, Ineta Kalniņa, Liene Ņikitina-Zaķe, Helgi B. Schiöth, Linda Zaharenko and Ramona Petrovska. Their work appears in journals such as Frontiers in Oncology, European Journal of Endocrinology, Frontiers in Endocrinology, Gene and International Journal of Molecular Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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